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Quality of Information on Wilms Tumor From Artificial Intelligence Chatbots: What Are Your Patients and Their Families Reading?

Peter Stapleton1, Jordan Santucci2, Thomas P Cundy2

  • 1Grampian's Health, Ballarat, VIC, Australia; Grampian's Health Regional Research Organisation, GHRRO Urology, Ballarat, VIC, Australia.

Urology
|February 6, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

AI chatbots offer understandable and accurate Wilms tumor information for patients and families. While reliable for general knowledge, the information is not always actionable, serving best as a discussion guide.

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Area of Science:

  • Artificial Intelligence in Healthcare
  • Pediatric Oncology
  • Health Information Technology

Background:

  • Wilms tumor is a rare kidney cancer affecting children.
  • Patients and families often seek accessible information online.
  • The role of AI chatbots in providing health information is emerging.

Purpose of the Study:

  • To evaluate the quality, understandability, and actionability of AI chatbot-generated information on Wilms tumors.
  • To assess the accuracy and reading level of AI responses compared to established guidelines.

Main Methods:

  • Utilized Google Trends to identify common patient questions about Wilms tumors.
  • Assessed responses from four AI chatbots (ChatGPT 3.5, Perplexity, Chat Sonic, Bing AI).
  • Employed DISCERN and PEMAT instruments to evaluate information quality, understandability, and actionability; analyzed reading level and misinformation.

Main Results:

  • AI chatbots delivered high-quality, understandable information with minimal misinformation (median DISCERN score 4/5, median PEMAT understandability 83%).
  • Information was generally accurate but written at an advanced reading level (median Flesch-Kincaid 46.7).
  • Actionability of the information was low (median PEMAT 40%), suggesting a need for professional interpretation.

Conclusions:

  • AI chatbots provide reliable, understandable, and accurate general information on Wilms tumors for patients and families.
  • These tools can supplement, but not replace, professional medical advice.
  • AI-generated content can facilitate patient-provider discussions about Wilms tumor diagnosis and treatment.